A Fake Content Remove Scheme using Binomial Distribution Characteristics of Collective Intelligence in Peer-to-Peer Environment

Abstract

A P2P (Peer-to-Peer) network can be created or destroyed automatically because it is based on the structural characteristic of being promoted by peer communities free participation. While users can share resources they want in a P2P, there are also many resources they do not want such as fake contents. As one method of removing fake contents, it is suggested to use collective intelligence in P2P environment. This study is intended to design an efficient contents reputation system using dynamic users collective intelligence in P2P environment. Collective intelligence has been applied to decision making more importantly thinks to the emergence of new information and communication technology and experts use this term to create a noble insight by combining a group of peoples behaviors, selection and ideas. Collecting a group of peoples decision making allows one to induce a statistical conclusion individuals does not know. To verify this, we simulate the real reputation of contents by trustworthy evaluation and unbiased evaluation.